How does Georgian Machine Translation work?
- Neural Machine Translation (NMT). NMT uses deep learning models to generate more fluent and natural translations by considering entire sentences rather than just individual words.
- Statistical Machine Translation (SMT). SMT relies on statistical models to predict the probability of a sequence of words, used to generate translations based on large corpora of text.
- Rule-Based Machine Translation (RBMT). RBMT uses a set of linguistic rules and bilingual dictionaries to translate text, focusing on grammar and syntax for accurate output.
- Transfer-Based Machine Translation. This method involves converting the source text into an intermediate representation before translating it into the target language, addressing linguistic differences.